Cross-modality Hierarchical Clustering and Refinement for Unsupervised Visible-Infrared Person Re-Identification
Author:
Affiliation:
1. Faculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, China
2. Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, US
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/4358651/10234457.pdf?arnumber=10234457
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Clothing-invariant contrastive learning for unsupervised person re-identification;Neural Networks;2024-10
2. Inter-Intra Modality Knowledge Learning and Clustering Noise Alleviation for Unsupervised Visible-Infrared Person Re-Identification;IEEE Transactions on Knowledge and Data Engineering;2024-08
3. An Application Agglomerative clustering for Computer Graphics Processing;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23
4. Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models;IEEE Access;2024
5. A Novel High-Performance Face Anti-Spoofing Detection Method;IEEE Access;2024
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